CAREER: Understanding Intelligent Morphology and Enhancing Bio-Inspired Design through System-Level Modeling of the Insect Flight Mechanism
职业:通过昆虫飞行机制的系统级建模了解智能形态并增强仿生设计
基本信息
- 批准号:1942810
- 负责人:
- 金额:$ 61.94万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-07-01 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This Faculty Early Career Development (CAREER) grant will focus on cultivating a deep understanding of the intelligent morphology of flying insects to guide better engineering designs for flying robots. Intelligent morphology is the concept that natural structures have evolved to reduce the energetic and neurological inputs required to control them. Insects are masterful at exploiting intelligent morphology, utilizing their body's flexibility to interact effortlessly with their environments. This enables them to perform complex tasks using a small fraction of the energy and cognitive power available to other animals. By contrast, many engineered systems continue to employ rigid components which relegate little function to passive mechanisms. This limits their energy efficiency, increases controller complexity and reduces their capacity to adapt to dynamic environments. Using the insect model, this project will generate methodologies that incorporate intelligent morphology design principles into engineered systems, which in turn can enhance their performance and durability. Concurrently, this award will support the training of future engineers in the fields of dynamics and vibrations through a state-of-the-art Applied Dynamics educational laboratory. The Applied Dynamics educational laboratory will also host annual week-long workshops focused on teaching the fundamentals of vibrations to rural middle school students who currently have limited access to science programs, as well as other students from underrepresented groups. Current research topics will be integrated into these educational activities. This program aims to develop a data driven system-level model of the insect flight mechanism that is comprised of the following components: the insect wing, abdomen, thorax, wing hinge and wing costal break. The project focuses on the latter three. Data collected from dynamical experiments on actual insects will drive component model formulation, and benchtop experimental systems representative of each component will be constructed in order to study biological phenomena in a controlled environment. Through this integrative approach of analytical modeling, biological testing and benchtop experimentation, this research will demonstrate how (1) the flexible insect thorax minimizes the energetic costs of locomotion, (2) the wing hinge simplifies flight control, and (3) wing buckling enhances insect collision robustness. Derived models will be reduced order to facilitate parametric studies and will account for complex phenomena associated with viscoelasticity and nonlinearity. Such models can easily be extended to inform bio-inspired technologies such as flapping wing micro air vehicles and flapping airfoil energy harvesters. This project contributes to the Principle Investigator’s long-term goal of elucidating the fundamental nature of intelligent morphology in complex biological systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该学院早期职业发展(CAREER)资助将专注于培养对飞行昆虫智能形态的深入理解,以指导飞行机器人更好的工程设计。 智能形态学是自然结构进化的概念,以减少控制它们所需的能量和神经输入。昆虫善于利用智能形态,利用身体的灵活性毫不费力地与环境互动。 这使它们能够使用其他动物可用的一小部分能量和认知能力来执行复杂的任务。相比之下,许多工程系统继续使用刚性部件,这些部件几乎没有将功能交给被动机构。 这限制了它们的能源效率,增加了控制器的复杂性,并降低了它们适应动态环境的能力。 利用昆虫模型,该项目将生成将智能形态设计原理纳入工程系统的方法,从而提高其性能和耐用性。 同时,该奖项将通过最先进的应用动力学教育实验室支持未来工程师在动力学和振动领域的培训。 应用动力学教育实验室还将举办为期一周的年度研讨会,重点是向目前无法获得科学课程的农村中学生以及其他代表性不足的学生教授振动的基本原理。 目前的研究课题将纳入这些教育活动。 该计划旨在开发一个数据驱动的系统级模型的昆虫飞行机制,包括以下组件:昆虫翅膀,腹部,胸部,翅膀铰链和翅膀肋骨断裂。 该项目侧重于后三个方面。 从实际昆虫的动态实验收集的数据将驱动组件模型的制定,并将构建代表每个组件的台式实验系统,以研究受控环境中的生物现象。 通过这种分析建模,生物测试和台式实验的综合方法,本研究将展示(1)灵活的昆虫胸部如何最大限度地减少运动的能量消耗,(2)机翼铰链简化飞行控制,(3)机翼屈曲增强昆虫碰撞鲁棒性。 导出的模型将减少,以促进参数研究,并将考虑与粘弹性和非线性相关的复杂现象。 这种模型可以很容易地扩展到生物启发技术,如扑翼微型飞行器和扑翼能量采集器。 该项目有助于首席研究员阐明复杂生物系统中智能形态学的基本性质的长期目标。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Toward the design of dynamically similar artificial insect wings
- DOI:10.1177/1756829321992138
- 发表时间:2021-01
- 期刊:
- 影响因子:1.4
- 作者:Heidi E. Reid;Huimin Zhou;Miles Maxcer;Robert K. D. Peterson;Jia Deng;Mark A. Jankauski
- 通讯作者:Heidi E. Reid;Huimin Zhou;Miles Maxcer;Robert K. D. Peterson;Jia Deng;Mark A. Jankauski
Reconstructing full-field flapping wing dynamics from sparse measurements
- DOI:10.1088/1748-3190/abb0cb
- 发表时间:2020-06
- 期刊:
- 影响因子:3.4
- 作者:W. Johns;Lisa G. Davis;Mark A. Jankauski
- 通讯作者:W. Johns;Lisa G. Davis;Mark A. Jankauski
The flying insect thoracic cuticle is heterogenous in structure and in thickness-dependent modulus gradation
- DOI:10.1016/j.actbio.2021.10.035
- 发表时间:2022-01-02
- 期刊:
- 影响因子:9.7
- 作者:Casey, Cailin;Yager, Claire;Heveran, Chelsea M.
- 通讯作者:Heveran, Chelsea M.
Insect Wing Buckling Influences Stress and Stability During Collisions
- DOI:10.1115/1.4055309
- 发表时间:2022-11-01
- 期刊:
- 影响因子:2
- 作者:Jankauski, Mark;Schwab, Ryan;Mountcastle, Andrew
- 通讯作者:Mountcastle, Andrew
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Mark Jankauski其他文献
Vibration mechanics involved in buzz pollination lead to size-dependent associations between bumblebees and Pedicularis flowers
- DOI:
10.1007/s11427-024-2858-5 - 发表时间:
2025-03-12 - 期刊:
- 影响因子:9.500
- 作者:
Yuanqing Xu;Bentao Wu;Mario Vallejo-Marín;Peter Bernhardt;Mark Jankauski;De-Zhu Li;Stephen Buchmann;Jianing Wu;Hong Wang - 通讯作者:
Hong Wang
Mark Jankauski的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Mark Jankauski', 18)}}的其他基金
Investigating the Mechanics of Buzz Pollination: A Structural Dynamics Perspective
研究蜂鸣授粉的机制:结构动力学视角
- 批准号:
2221908 - 财政年份:2022
- 资助金额:
$ 61.94万 - 项目类别:
Standard Grant
Efficient Modeling of Fluid-Structure Interaction in Flapping, Flexible Wings for Real-Time Control and Parametric Design
扑动柔性机翼中流固耦合的高效建模,用于实时控制和参数化设计
- 批准号:
1855383 - 财政年份:2019
- 资助金额:
$ 61.94万 - 项目类别:
Standard Grant
相似国自然基金
Navigating Sustainability: Understanding Environm ent,Social and Governanc e Challenges and Solution s for Chinese Enterprises
in Pakistan's CPEC Framew
ork
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国学者研究基金项目
Understanding structural evolution of galaxies with machine learning
- 批准号:n/a
- 批准年份:2022
- 资助金额:10.0 万元
- 项目类别:省市级项目
Understanding complicated gravitational physics by simple two-shell systems
- 批准号:12005059
- 批准年份:2020
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
相似海外基金
CAREER: Towards sensing and understanding fine-grained body postures in daily life using intelligent wearables with acoustic sensing
职业:利用具有声学传感功能的智能可穿戴设备来感知和理解日常生活中细粒度的身体姿势
- 批准号:
2239569 - 财政年份:2023
- 资助金额:
$ 61.94万 - 项目类别:
Continuing Grant
SCC-PG:MAPPING INSTABILITY: Building an Intelligent Community Agent Platform for Understanding the Impact of Large Scale Crisis on Small Town Communities
SCC-PG:映射不稳定:构建智能社区代理平台以了解大规模危机对小镇社区的影响
- 批准号:
2125183 - 财政年份:2021
- 资助金额:
$ 61.94万 - 项目类别:
Standard Grant
Robotics for carbon-neutral fusion-energy - Understanding, modelling, and predicting the human tele-robotics operator for intelligent shared control
碳中性聚变能源机器人 - 理解、建模和预测人类远程机器人操作员以实现智能共享控制
- 批准号:
2509290 - 财政年份:2020
- 资助金额:
$ 61.94万 - 项目类别:
Studentship
RII Track-2 FEC: Leveraging Intelligent Informatics and Smart Data for Improved Understanding of Northern Forest Ecosystem Resiliency (INSPIRES)
RII Track-2 FEC:利用智能信息学和智能数据提高对北部森林生态系统恢复力的了解 (INSPIRES)
- 批准号:
1920908 - 财政年份:2019
- 资助金额:
$ 61.94万 - 项目类别:
Cooperative Agreement
Collaborative research: Fostering conceptual understanding and skill with an intelligent tutoring system for equation solving
协作研究:通过求解方程的智能辅导系统培养概念理解和技能
- 批准号:
1760922 - 财政年份:2018
- 资助金额:
$ 61.94万 - 项目类别:
Standard Grant
Intelligent Language Processing for Understanding Financial Text
用于理解金融文本的智能语言处理
- 批准号:
ES/S001778/1 - 财政年份:2018
- 资助金额:
$ 61.94万 - 项目类别:
Fellowship
Intelligent scene understanding for collaborative mobile augmented reality
协作移动增强现实的智能场景理解
- 批准号:
530666-2018 - 财政年份:2018
- 资助金额:
$ 61.94万 - 项目类别:
Collaborative Research and Development Grants
Collaborative Research: Fostering conceptual understanding and skill with an intelligent tutoring system for equation solving
协作研究:通过求解方程的智能辅导系统培养概念理解和技能
- 批准号:
1760947 - 财政年份:2018
- 资助金额:
$ 61.94万 - 项目类别:
Standard Grant
ABI: Toward Advanced Understanding in Biological Systems - Support for Training at the Intelligent Systems for Molecular Biology Conference, Boston, MA, July 11-15, 2014
ABI:迈向生物系统的高级理解 - 支持分子生物学智能系统会议培训,马萨诸塞州波士顿,2014 年 7 月 11-15 日
- 批准号:
1443033 - 财政年份:2014
- 资助金额:
$ 61.94万 - 项目类别:
Standard Grant
Conference: ABI: Toward Advanced Understanding in Biological Systems - Intelligent Systems for Molecular Biology Conference Support for Training Students & Young Scientists.
会议:ABI:迈向生物系统的高级理解 - 分子生物学智能系统会议支持培训学生
- 批准号:
1340055 - 财政年份:2013
- 资助金额:
$ 61.94万 - 项目类别:
Standard Grant